• Mr. Sachin Ambhore
• Dr.Nihar Ranjan

This work showss a novel single-picture super reso- lution (SR) strategy, which upscales a given low-goals (LR) input picture to a high-goals picture while saving the textural and auxiliary data. In the first place, we build a new kind of bivariate sound fractal introduction display and research its scientific properties. This model has unique types of articulation with different estimations of the scaling factors what’s more, shape parameters; along these lines, it tends to be utilized to better depict picture highlights than current addition plans. Besides, this model consolidates the upsides of objective interjection and fractal introduction, and its viability is approved through hypothetical investigation. Second, we build up a single-picture SR calculation dependent on the proposed model. The LR input picture is separated into surface and non-surface areas, and at that point, the picture is inserted by the attributes of the nearby structure. In particular, in the surface district, the scaling factor count is the basic advance. We present a technique to precisely ascertain scaling factors dependent on neighborhood fractal investigation. Broad tests and examinations with the other state-ofthe- craftsmanship techniques demonstrate that our calculation accomplishes focused execution, with better subtleties and more keen edges.

Natural Neighbour Algorithm, Image Super- Resolution, Image Features, Scaling Factor, Local Fractal Analysis

"Single-Image Super-Resolution Based on Rational Fractal Interpolation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.941-944, June 2019, Available :http://www.jetir.org/papers/JETIR1906G43.pdf

"Single-Image Super-Resolution Based on Rational Fractal Interpolation", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp941-944, June 2019, Available at : http://www.jetir.org/papers/JETIR1906G43.pdf